Run Lead Enrichment on Schedule — AI Agent
Already on Schedule? Add an Arahi AI agent for Lead Enrichment and save hours every week without writing code.
84 contacts enriched. Latest write-back:
Meeting notes
- • Title: VP of Operations · Series B (Mar 2024) · 80 FTE.
- • Stack: HubSpot, Stripe, Notion, Slack, Linear.
- • Buying signals: 2 ops hires last 60d, recent G2 review search.
Built in plain English.
You write the rule the way you'd describe it to a teammate. The agent reads the rule, breaks it into the actions it'll take, and confirms the apps it'll touch — before it does anything.
- 1Read the meeting transcript end-to-end
- 2Extract decisions, commitments, and next steps
- 3Update the deal record and advance the stage if criteria met
- 4Notify the right teammate with the relevant context
Get started in three steps
Connect Schedule
Link Schedule to Arahi AI in one click. Your tasks, projects, and documents sync automatically.
Set Up Workspace Automation
Define triggers in Schedule — new tasks, status changes, due dates — and the AI actions that follow.
Work Smarter, Not Harder
Your AI agent keeps Schedule organized while you focus on execution. Track productivity gains on your dashboard.
Title: VP of Operations · Series B (Mar 2024) · 80 FTE.
Action items extracted; assignees notified in Slack.
Three deals moved to next stage; risks flagged for the AE.
Approve before it sends.
Every draft lands in a review queue. You approve, edit, or reject — the agent never acts on its own unless you explicitly turn that on for a workflow you trust.
Every action, with the reasoning attached.
Each step the agent takes is logged with what it did, why it did it, and which app it touched. Audit-ready, so security and compliance can sign off without backfilling.
- Agent2:47 PM
Updated Salesforce · Contacts with the meeting outcome.
- Agent2:46 PM
Advanced deal stage; the criteria for Proposal were met.
Reason: Budget confirmed and decision-maker identified per stage definition.
- Agent2:45 PM
Wrote meeting notes for Contact · Sam Okafor (Beacongrid).
- Agent2:44 PM
Read the transcript and extracted action items.
- Agent2:30 PM
Triggered by call end event in Granola.
Frequently asked questions
The lead enrichment agent scales automatically as your Schedule activity grows. Whether you process 10 or 10,000 lead enrichment tasks per day from Schedule, the AI handles the volume without slowdowns or additional configuration.
Yes. You define exactly which Schedule events start lead enrichment workflows — new records, status changes, messages, or custom triggers. Each trigger can have conditions so lead enrichment actions only fire when your specific criteria are met in Schedule.
Yes. The lead enrichment agent connected to Schedule simultaneously interacts with 1,500+ other apps — CRMs, databases, email platforms, and more. A single lead enrichment workflow can pull data from Schedule, process it, and push results to multiple destinations.
Yes. You can create parallel lead enrichment workflows that respond to different Schedule events or conditions. For example, one lead enrichment flow for new Schedule records and another for updated ones — each with independent rules and actions.
The Schedule integration automates end-to-end lead enrichment — including data capture from Schedule, validation, routing, follow-up actions, and status updates. Every lead enrichment step that touches Schedule can be handled by the AI agent.
Arahi AI connects natively with Schedule to handle the full lead enrichment workflow. The AI agent monitors Schedule events, processes lead enrichment tasks automatically, and writes results back to Schedule — no copy-pasting or tab-switching required.
When the AI hits an edge case during lead enrichment processing in Schedule, it escalates to your team with full context — the Schedule record, what was attempted, and why it needs review. Your lead enrichment pipeline never stalls or loses data.
The Schedule integration maintains a persistent real-time connection for lead enrichment automation with automatic retry logic and continuous monitoring. If Schedule experiences downtime, queued lead enrichment tasks process automatically once connectivity resumes.
Arahi AI connects to Schedule via one-click OAuth, then runs lead enrichment workflows that read and write Schedule data on a schedule or in response to triggers. You configure the rules once; the agent executes lead enrichment across every relevant Schedule record without developer involvement.
Schedule holds the data; AI supplies the judgment and throughput. Together they turn lead enrichment from a manual, inconsistent process into one that runs at machine speed with a consistent quality bar — freeing your team to focus on the Schedule-adjacent work that genuinely needs human attention.
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